Open AccessHigh‐speed target tracking algorithm for the pulse‐sequence‐based image sensor
Author(s) -
Xu Jiangtao,
Wang Xiangfeng,
Gao Zhiyuan,
Nie Kaiming
Publication year - 2021
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/ipr2.12094
Subject(s) - computer science , computer vision , tracking (education) , artificial intelligence , pixel , algorithm , position (finance) , field programmable gate array , psychology , pedagogy , finance , computer hardware , economics
This paper proposed a high‐speed target tracking algorithm based on the pulse‐sequence‐based image sensor. The algorithm separates the target from the background through the statistical distribution of the pulses in a single frame of data. In order to achieve more accurate target tracking, the phenomenon of image lag in the process of capturing the high‐speed moving target is studied. The positioning deviation is compensated by estimating the image lag length of the moving target. The algorithm is implemented with pipeline processing on field‐programmable gate array (FPGA). The positioning accuracy of the algorithm is verified with input data from a pulse‐sequence image sensor model. The verification results show that the maximum position deviation of the target at different speeds is 0.94 pixels. In the experiment of tracking a 40 m/s moving ball, this algorithm can provide real‐time position information within 44 ns.